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A31-18 Evaluation of the Sybil Artificial Intelligence Model for Lung Cancer Prediction for Use in Lung Cancer Screening at the Department of Veterans Affairs

Conferences
Kotlik, A; Fricks, RB; Gilkey, M; Al-Shakhshir, H; Madabhushi, A; Do, N; Shofer, SL
Published in: American Journal of Respiratory and Critical Care Medicine
May 1, 2026

Duke Scholars

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Published In

American Journal of Respiratory and Critical Care Medicine

DOI

EISSN

1535-4970

ISSN

1073-449X

Publication Date

May 1, 2026

Volume

212

Issue

Supplement_1

Publisher

Oxford University Press (OUP)

Related Subject Headings

  • Respiratory System
  • 3202 Clinical sciences
  • 3201 Cardiovascular medicine and haematology
 

Citation

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Kotlik, A., Fricks, R. B., Gilkey, M., Al-Shakhshir, H., Madabhushi, A., Do, N., & Shofer, S. L. (2026). A31-18 Evaluation of the Sybil Artificial Intelligence Model for Lung Cancer Prediction for Use in Lung Cancer Screening at the Department of Veterans Affairs. In American Journal of Respiratory and Critical Care Medicine (Vol. 212). Oxford University Press (OUP). https://doi.org/10.1093/ajrccm/aamag162.3634
Kotlik, A., R. B. Fricks, M. Gilkey, H. Al-Shakhshir, A. Madabhushi, N. Do, and S. L. Shofer. “A31-18 Evaluation of the Sybil Artificial Intelligence Model for Lung Cancer Prediction for Use in Lung Cancer Screening at the Department of Veterans Affairs.” In American Journal of Respiratory and Critical Care Medicine, Vol. 212. Oxford University Press (OUP), 2026. https://doi.org/10.1093/ajrccm/aamag162.3634.
Kotlik A, Fricks RB, Gilkey M, Al-Shakhshir H, Madabhushi A, Do N, et al. A31-18 Evaluation of the Sybil Artificial Intelligence Model for Lung Cancer Prediction for Use in Lung Cancer Screening at the Department of Veterans Affairs. In: American Journal of Respiratory and Critical Care Medicine. Oxford University Press (OUP); 2026.
Kotlik, A., et al. “A31-18 Evaluation of the Sybil Artificial Intelligence Model for Lung Cancer Prediction for Use in Lung Cancer Screening at the Department of Veterans Affairs.” American Journal of Respiratory and Critical Care Medicine, vol. 212, no. Supplement_1, Oxford University Press (OUP), 2026. Crossref, doi:10.1093/ajrccm/aamag162.3634.
Kotlik A, Fricks RB, Gilkey M, Al-Shakhshir H, Madabhushi A, Do N, Shofer SL. A31-18 Evaluation of the Sybil Artificial Intelligence Model for Lung Cancer Prediction for Use in Lung Cancer Screening at the Department of Veterans Affairs. American Journal of Respiratory and Critical Care Medicine. Oxford University Press (OUP); 2026.

Published In

American Journal of Respiratory and Critical Care Medicine

DOI

EISSN

1535-4970

ISSN

1073-449X

Publication Date

May 1, 2026

Volume

212

Issue

Supplement_1

Publisher

Oxford University Press (OUP)

Related Subject Headings

  • Respiratory System
  • 3202 Clinical sciences
  • 3201 Cardiovascular medicine and haematology